06 Jul 2017

06 Jul 2017

Review status: this discussion paper is a preprint. It has been under review for the journal Natural Hazards and Earth System Sciences (NHESS). The manuscript was not accepted for further review after discussion.

Implementation of a Geological Disaster Monitoring and Early Warning System Based on Multi-source Spatial Data: A Case Study of Deqin County, Yunnan Province

Guo-ping Chen1,2, Jun-san Zhao1, Lei Yuan3, Zun-jie Ke4, Miao Gu5, and Tao Wang5 Guo-ping Chen et al.
  • 1Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
  • 2Geomatics Engineering Faculty, Kunming Metallurgy College, Kunming 650033, China
  • 3School of Information Science and Technology, Yunnan Normal University, Kunming 650500, China
  • 4Yunnan Basic Surveying Technology Center, Kunming 650034, China
  • 5Kunming Yunjindi Geo-Information Co. Ltd., Kunming 650102, China

Abstract. New technologies, such as three-dimensional laser scanning, interferometric synthetic aperture radar (InSAR), global navigation satellite systems (GNSSs), unmanned aerial vehicles (UAVs), and the Internet of Things, will provide greater volumes of data for surveying and monitoring as well as for the development of early warning systems (EWS). This research proposes solutions for the design and implementation of a geological hazard monitoring and early warning system (GHMEWS) for landslides and debris-flow hazards based on data multi-sourced from the aforementioned technologies. We describe the complex and changeable characteristics of the GHMEWS and analyze the architecture of the system, the composition of the multi-source database, the development mode and service logic, and the methods and key technologies of the system development. To illustrate the implementation process of the GHMEWS, we selected Deqin County as the case study area due to its unique terrain and diverse types of typical landslides and debris flows. First, we discuss the system's functional requirements and the monitoring and forecasting models of the system. Second, we examine the logic relations of the overall disaster process, including pre-disaster, disaster rescue, and post-disaster reconstruction, and develop a support tool for disaster prevention, disaster reduction, and geological disaster management. Third, we describe the methods for multi-source monitoring data integration and the generation and simulation of the mechanism model of geological disasters. Finally, we construct the GHMEWS for application to the dynamic and real-time management, monitoring, and forecasting of the entire hazard process in Deqin County.

Guo-ping Chen et al.

Status: closed
Status: closed
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Guo-ping Chen et al.

Guo-ping Chen et al.


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Short summary
Geological disasters are due to geological tectonic defects and external drivers of an integrated ecological environment. Recently researchers have used a variety of techniques for different types of geological hazard monitoring and early warning to conduct relevant research and have achieved fruitful results. We study the spatial information of large-scale geological disasters by using 3D laser scanning, InSAR, high score image, UAV and GNSS. Deqin County is selected as research area to verify.